Agents vs. Models: Understanding the Key Differences in AI
As artificial intelligence continues to advance, the terms models and agents are often used interchangeably. However, they serve distinct roles in the AI ecosystem. Understanding the difference between AI models and AI agents is crucial for anyone looking to harness the full potential of generative AI. What is an AI Model? An AI model is a trained system that makes predictions or generates responses based on input data. These models rely solely on the information available in their training datasets. Whether it’s a large language model (LLM) like GPT or a fine-tuned transformer, AI models execute a single inference at a time without retaining memory of past interactions unless specifically designed to do so. Key Characteristics of AI Models: 🔹 Limited Knowledge Scope : The model's understanding is restricted to the data it was trained on. 🔹 Single-Step Predictions : AI models make isolated predictions per query. 🔹 No Built-In Tool Access : Models do not inherently interact wi...